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Aiisa FAQ – Your questions, answered
Explore our most frequently asked questions about Aiisa – from how the service works to what you can expect as a user. We’ve gathered the essentials in one place so you can navigate the service with ease and make the most of your experience.
Yes, it is entirely free for anyone who has not previously had an active subscription.
Yes.
No.
A static algorithm follows fixed rules. It produces the same output whenever the same conditions are met, and it cannot adjust when the environment changes. If new information appears – a shift in the market, an unexpected pattern, or a broken assumption – the algorithm continues to operate as if nothing has changed.
Aiisa, as a real AI, works fundamentally differently. She learns from historical data, interprets current market conditions, and evaluates potential future scenarios. Instead of relying on rigid instructions, she continuously updates her understanding of the environment and adapts her decisions in real time.
This adaptive capability allows Aiisa to identify risks earlier, adjust to new information, and optimize her path toward the goal: finding opportunities with strong potential while managing risk effectively. Where a static algorithm becomes outdated the moment the world shifts, Aiisa evolves with the market – and that is the core advantage of true AI.
This is a tailored service for enterprises. Contact us at kontakt@aiisa.se with the specific data you wish to purchase, and we will create a solution that fits your company’s needs.
Aiisa is an independent AI guide and does not hold accounts nor handles any transactions. You buy and sell through your regular bank or broker, and therefore you keep all your securities with them.
The most likely reason the specific stock you’re looking for isn’t available is that Aiisa currently does not monitor the list or exchange on which the stock is listed. At present, Aiisa covers the Large, Mid, and Small Cap segments on the Nasdaq Stockholm exchange.
You will also not find a specific stock if Aiisa determines that there is not enough information available in the market to generate an investment idea. The same applies if Aiisa assesses that the information about a company is not sufficiently relevant. In such cases, Aiisa will choose not to display investment ideas for that company. This is a safety feature designed to ensure the highest possible quality of investment ideas.
The enabled return is calculated based on a portfolio traded according to all buy recommendations, regardless of recommendation strength. Acquired positions are then sold at the first sell recommendation, again regardless of strength. Once a stock is sold, it is no longer included in the portfolio. Positions that have not been sold on the day the return is calculated are held at the latest closing price. 100% of the return from each trade is reinvested. Since brokerage fees vary across trading platforms—and are often very low—we have not included brokerage costs in the return metric. The purpose is to present Aiisa’s performance without introducing external uncertainties into the calculated return.
Note: The enabled return presented is lower than the theoretical maximum return and is based on the actual outcomes of the recommendations in the Aiisa app. Individual users may experience both lower and higher traded returns during the period. All recommendations on which the return is based were delivered to the user before the market opened on the trading day to which the recommendation applied.
The maximum return potential is a metric that is always accurate and does not rely on any statistical probability assumptions. It is also easy to understand, whether you are a beginner or an experienced investor. The maximum return potential shows the return opportunity in a transparent way for anyone trading on the stock market. In addition, it is very easy to verify using external sources, since both the lowest and highest prices for stocks are available on most trading platforms.
Note: All ideas on which the return is based were delivered to the user before the market opened on the trading day to which the recommendation applied.